NDLI: Demo: Real-time indoors people tracking in scalable camera networks

Content Provider	IEEE Xplore Digital Library
Author	Jelaca, V. Grunwedel, S. Nino-Castaneda, J.O. Van Hese, P. Van Cauwelaert, D. Veelaert, P. Philips, W.
Copyright Year	2011
Description	Author affiliation: Department of Telecommunications and Information Processing, TELIN-IPI-IBBT, Ghent University, Ghent, Belgium (Jelaca, V.; Grunwedel, S.; Nino-Castaneda, J.O.; Van Hese, P.; Van Cauwelaert, D.; Veelaert, P.; Philips, W.)
Abstract	In this demo we present a people tracker in indoor environments. The tracker executes in a network of smart cameras with overlapping views. Special attention is given to real-time processing by distribution of tasks between the cameras and the fusion server. Each camera performs tasks of processing the images and tracking of people in the image plane. Instead of camera images, only metadata (a bounding box per person) are sent from each camera to the fusion server. The metadata are used on the server side to estimate the position of each person in real-world coordinates. Although the tracker is designed to suit any indoor environment, in this demo the tracker's performance is presented in a meeting scenario, where occlusions of people by other people and/or furniture are significant and occur frequently. Multiple cameras insure views from multiple angles, which keeps tracking accurate even in cases of severe occlusions in some of the views.
Starting Page	1
Ending Page	2
File Size	286981
Page Count	2
File Format	PDF
ISBN	9781457717086
e-ISBN	9781457717079
e-ISBN	9781457717062
DOI	10.1109/ICDSC.2011.6042957
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-22
Publisher Place	Belgium
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems Legged locomotion Visualization Image edge detection Smart cameras Cameras Servers
Content Type	Text
Resource Type	Article

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